What platform are you running this on? Are you running 32bit or 64bit? The maximum of the segmentation must be 0xffffff (white). If you get 0xff, there is something seriously wrong somewhere in image I/O.
Tom On Tuesday, August 21, 2012 11:17:57 PM UTC+2, stinger wrote: > > I've run through the installation process, and am trying to run the > run-test script. I keep getting the error "expected a segmentation with > white background" when running ocropus-ngraphs (see output below) - it's > failing because the max of 255 is being checked against an expected value > of 0xffffff. However, if I modify the code, and change 0xffffff to 0xff > the run-test script works. Not sure if this is a bug? > > + true > + true language model application > + true > + ocropus-ngraphs 'temp/????/??????.lattice' > loading /usr/local/share/ocropus/en-mixed-4.ngraphs > processing 92 files > temp/0001/010001.lattice =NGRAPHS= 21.29 BOOK REVIEIP > Traceback (most recent call last): > File "/usr/local/bin/ocropus-ngraphs", line 294, in <module> > rseg = ocrolib.read_line_segmentation(rname) > File "/usr/local/lib/python2.7/dist-packages/ocrolib/toplevel.py", line > 194, in argument_checks > result = f(*args,**kw) > File "/usr/local/lib/python2.7/dist-packages/ocrolib/common.py", line > 207, in read_line_segmentation > result = make_seg_black(image) > File "/usr/local/lib/python2.7/dist-packages/ocrolib/toplevel.py", line > 190, in argument_checks > raise e > ocrolib.toplevel.CheckError: > CheckError for argument 'image' in call to function: '<function > make_seg_black at 0x3810aa0>' > <ndarray-13b67fd0 (60, 583) int32 [1,255]> of type <type 'numpy.ndarray'>: > expected a segmentation with white background > > > > > > > On Friday, August 17, 2012 9:31:35 PM UTC-5, Tom wrote: >> >> OCRopus 0.6pre1 has been released. It features much simpler >> installation, fewer dependencies, and improved recognition rates. This is >> the first all-Python release. Please follow the instructions on >> http://www.ocropus.org/ (installation is really just a couple of simple >> steps). >> >> There are three scripts you should run after installation: >> >> (1) "run-test" runs a simple recognition test >> (2) "run-box-training" (in fraktur-boxes) trains a Fraktur recognizer >> from Tesseract-style box files >> (3) "run-uw3-500" (in uw3-500) shows how training works on line-by-line >> transcribed data >> >> Tom >> > -- You received this message because you are subscribed to the Google Groups "ocropus" group. To post to this group, send email to [email protected]. To unsubscribe from this group, send email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msg/ocropus/-/FjzMbYQ84RsJ. For more options, visit https://groups.google.com/groups/opt_out.
